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说明：  遗传算法的matlab代码Matlab code for genetic algorithm(Matlab code for genetic algorithm)

Example of a digital data transmission implementing GMSK modulation This Simulink model simulates as an example the transmission and reception of random digital data modulated with GMSK. The purpose of this model is to illustrate how part of the GSM transmission and reception works. It also measures the BER, affected by an AWGN channel (Example of a digital data transmission The need lementing GMSK modulation This Simulink model simulates as an example the transmission and re Arjen of random digital data modulated with G. MSK. The purpose of this model is to illustrate h ow part of the GSM transmission and reception wo rks. It also measures the BER. affected by an AWGN channel)

通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘。(Derivative to detect image edges by Gaussian function, in essence, the steerable wavelet transform to detect image edges.)

说明：  关于飞机控制系统的可靠性仿真，很好的一篇论文(reliability simulink of aircraft environment control system)

Single-pixel imaging via compressive sampling.pdf

porter stemmer developed in matlab based on 1980 porter stemmer algorithm

在matlab环境编译下的MINO非线性预编码技术，比较适合初学者使用 (In the non-linear pre-coding technology MINO matlab compiler environment under more suitable for beginners)

利用有限元分析的方法，对微尺度内的物理进行了流动模拟，该方法可以分析多孔介质。(Finite element method, the physics of microscale flow simulation conducted, the method can analyze the porous media.)

GUI方面的经典教材. 这本书讲解详细易懂,是初学MATLAB的图像处理不错的入门教材(This book contains information obtained from authentic and highly regarded sources. Reprinted material is quoted with permission, and sources are indicated. A wide variety of references are listed. Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their use.)

《MATLAB神经网络30个案例分析》中的第13个例子，案例13 SVM神经网络中的参数优化---提升分类器性能。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 13 cases of 13 SVM parameters optimization of neural network classifier performance- ascension. Hope to have certain help to everybody! )